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首页> 外文期刊>BMC Neuroscience >Effects of musical training and event probabilities on encoding of complex tone patterns
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Effects of musical training and event probabilities on encoding of complex tone patterns

机译:音乐训练和事件概率对复杂音调编码方式的影响

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Background The human auditory cortex automatically encodes acoustic input from the environment and differentiates regular sound patterns from deviant ones in order to identify important, irregular events. The Mismatch Negativity (MMN) response is a neuronal marker for the detection of sounds that are unexpected, based on the encoded regularities. It is also elicited by violations of more complex regularities and musical expertise has been shown to have an effect on the processing of complex regularities. Using magnetoencephalography (MEG), we investigated the MMN response to salient or less salient deviants by varying the standard probability (70%, 50% and 35%) of a pattern oddball paradigm. To study the effects of musical expertise in the encoding of the patterns, we compared the responses of a group of non-musicians to those of musicians. Results We observed significant MMN in all conditions, including the least salient condition (35% standards), in response to violations of the predominant tone pattern for both groups. The amplitude of MMN from the right hemisphere was influenced by the standard probability. This effect was modulated by long-term musical training: standard probability changes influenced MMN amplitude in the group of non-musicians only. Conclusion This study indicates that pattern violations are detected automatically, even if they are of very low salience, both in non-musicians and musicians, with salience having a stronger impact on processing in the right hemisphere of non-musicians. Long-term musical training influences this encoding, in that non-musicians benefit to a greater extent from a good signal-to-noise ratio (i.e. high probability of the standard pattern), while musicians are less dependent on the salience of an acoustic environment.
机译:背景技术人类听觉皮层自动对来自环境的声音输入进行编码,并将常规声音模式与异常声音模式区分开,以识别重要的不规则事件。不匹配负性(MMN)响应是一种神经元标记,用于基于编码规律性检测意外声音。违反更复杂规律性的行为也引发了这种现象,并且音乐专业知识已显示出对复杂规律性处理的影响。使用脑磁图(MEG),我们通过改变模式奇数球范式的标准概率(70%,50%和35%)来研究MMN对显着或不太显着偏差的反应。为了研究音乐专业知识对模式编码的影响,我们比较了一组非音乐家与音乐家的反应。结果我们观察到在所有条件下,包括最不明显的条件(35%标准),均存在明显的MMN,这是由于两组违反了主要的音调模式。来自右半球的MMN的幅度受标准概率的影响。这种效果是通过长期的音乐训练来调节的:标准概率变化仅影响非音乐家组中的MMN幅度。结论这项研究表明,无论是非音乐家还是音乐家,模式违规都会被自动检测到,即使它们的显着性很低,显着性对非音乐家右半球的处理也有更强的影响。长期的音乐训练会影响这种编码,因为非音乐家会从良好的信噪比(即标准模式的高概率)中更大程度地受益,而音乐家则较少依赖于声学环境的显着性。

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